How AI Can Train a Better Volunteer

For as long as there has been a formal practice of volunteer management, there has also been a notion that professional volunteer managers should do a better job of training a more effective volunteer – that notion is about to change.

As volunteer managers, the more information we have documented, standardized, distributed, validated, canonicalized, and repeated, the more professional we have considered our practices to be. In reality, we know these tendencies to legitimize our efforts come with the hidden costs of reinforcing suboptimal engagement patterns, systematically excluding underrepresented audiences, and investing our agencies in tradition instead of the future.

We can take ourselves as seriously as we want, but our directive is to favor elevating our organizations’ mandates to deliver improved conditions over pursuing our personal, managerial preferences. Let’s consider another irony: as of 2024, AI’s inherent defect is considered to be its propensity to “hallucinate” when it perceives its limited and inaccurate knowledge base to be the whole truth – could it also be possible that AI’s hidden superpower is an unprecedented ability to enable any volunteer to train themselves better than the best equipped volunteer manager could ever train them?

Golden founder and CEO, Sam Fankuchen, recently shared his thoughts on how AI can help volunteer managers train and onboard volunteers for their cause. 

You can read his full article on Engage Journal, Ahead of the Curve, here.